Iris - ggthemr and DT package

rm(list=ls())

library(DT)
library(tidyverse)
library(plotly)
library(ggthemes)
library(ggplot2)
library(ggthemr)
library(scales)

df <- iris

datatable(df,editable = 'cell')

ggthemr("grass",text_size = 12)

ggplotly(df %>%
  gather(c(1:4),key="key",value="val") %>%
  ggplot(aes(x=Species,y=val,fill=Species,text=paste("Species:",Species,"\nValue:",val))) +
  geom_boxplot(outlier.shape=NA) + 
  geom_jitter(shape=21,colour="black",position=position_jitter(width=0.1),show.legend = F) + 
  facet_wrap(~key,scales="free") +
  labs(y="") + 
    theme(panel.spacing = unit(3, "lines")),
  tooltip = "text")

ggthemr("grass",text_size = 12)

ggplotly(df %>%
  gather(c(1:4),key="key",value="val") %>%
  ggplot(aes(x=val,fill=Species)) +
  geom_density() + 
  facet_wrap(~key,scales="free") +
  labs(y="")+ 
    theme(panel.spacing = unit(3, "lines")))

ggplotly(
df %>%
  gather(c("Sepal.Width","Petal.Length","Petal.Width"),value="val",key="key") %>%
  ggplot(aes(y=Sepal.Length,x=val,text=paste(key,":",val,"\nSepal.Length:",Sepal.Length))) + 
  geom_point() + 
  facet_wrap(~key,scales="free_x") + 
  labs(x="",scales="free")+ 
    theme(panel.spacing = unit(3, "lines")),
tooltip = "text")